Tobacco Leaf Segmentation Based on Improved MASK RCNN Algorithm and SAM Model-Reference-Cited by-同舟云学术

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Tobacco Leaf Segmentation Based on Improved MASK RCNN Algorithm and SAM Model

Published:2023 Issue: Volume:11 Page:103102-103114
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Weizheng¹^ORCID,Wang Yuefeng¹,Shen Guangcai²,Li Canlin¹^ORCID,Li Meng³,Guo Yingcheng²^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China

2. Yunnan Tobacco Company, Baoshan Branch, Baoshan, China

3. College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, Zhengzhou, China

Funder

Henan Provincial Science and Technology Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10254214.pdf?arnumber=10254214

Reference20 articles.

1. End-to-End Instance Segmentation with Recurrent Attention

2. Recurrent Instance Segmentation

3. Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

4. Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants

5. A comprehensive survey on segment anything model for vision and beyond;zhang;arXiv 2305 08196,2023

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1. A fine segmentation model of flue-cured tobacco’s main veins based on multi-level-scale features of hybrid fusion;Soft Computing;2024-08-12

2. Machine learning approach for recognition and morphological analysis of isolated astrocytes in phase contrast microscopy;Scientific Reports;2024-04-29

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